A review of the application of GIS in biomass and solid waste supply chain optimization: Gaps and opportunities for developing nations

Gratitude Charis, Gwiranai Danha, Edison Muzenda

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

The application of GIS enhanced modelling techniques in biomass and solid waste supply chain problems is hinged on a common denominator for both systems: the scattered nature of supply points and variability of resource quantities. Since the sustainability of bioenergy or waste-to-energy projects around these resources will be affected significantly by the cost of supplying them, it is important to optimize decisions around facility location, size and transport routes. GIS is an important tool that can be used to capture the spatial and temporal dynamics of the biomass and waste. It can then be used alone or integrated with other software tools, for strategic and tactical level optimization of biomass and solid waste supply chains. In as much as a lot of progress has been made globally in research and application of GIS enhanced modelling techniques in biomass and solid waste supply chains, developing nations have trailed behind. This explains why spatial and temporal waste or biomass statistics are not readily available in these areas. This paper reviews recent developments in the application of GIS in biomass and solid waste supply chain models, with the ultimate objective of identifying the gaps and opportunities that exist. It is especially biased towards the use of the biomass and waste in renewable or waste to energy schemes- a fast growing field within the green economy.

Original languageEnglish
Pages (from-to)42-52
Number of pages11
JournalProceedings of the International Conference on Industrial Engineering and Operations Management
Volume2018
Issue numberNOV
Publication statusPublished - 2018
EventProceedings of the International Conference on Industrial Engineering and Operations Management Pretoria, IEOM 2018 -
Duration: Oct 29 2018Nov 1 2018

All Science Journal Classification (ASJC) codes

  • Strategy and Management
  • Management Science and Operations Research
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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